Great Basin Naturalist Volume 46 | Number 1 Article 14 1-31-1986 Ecological differences of C3 and C4 plant species from central Utah in habitats and mineral composition C. Morden Texas A&M University, College Station Jack D. Brotherson Brigham Young University Bruce N. Smith Brigham Young University Follow this and additional works at: http://scholarsarchive.byu.edu/gbn Recommended Citation Morden, C.; Brotherson, Jack D.; and Smith, Bruce N. (1986) "Ecological differences of C3 and C4 plant species from central Utah in habitats and mineral composition," Great Basin Naturalist: Vol. 46: No. 1, Article 14. Available at: http://scholarsarchive.byu.edu/gbn/vol46/iss1/14 This Article is brought to you for free and open access by the Western North American Naturalist Publications at BYU ScholarsArchive. It has been accepted for inclusion in Great Basin Naturalist by an authorized administrator of BYU ScholarsArchive. For more information, please contact [email protected]. ECOLOGICAL DIFFERENCES OF C, AND C, PLANT SPECIES FROM CENTR\L UTAH IN HABITATS AND MINER.\L COMPOSITION C. M Olden , Jack D. Brotherson". and Bruce N. Smith" — Six study sites were established in each of three comniunit\ life fonn t>pes grass, forb. and shrub subdomimmts either Cj and or C4 plants. Soil and vegetation samples were anal\"zed foi phosphorus, magnesium, calcium, potassium, sodium, zinc. iron, copper, and manganese. Discrimi total nitrogen, nant analysis and analysis of Viiriance statistics were used to evaluate differences in mineral content of soils and plan tissues. Cj plants in all study sites assimilated higher concentrations of potassium, iron, and calcium than did C3 plants Forbs in all sites contained the highest concentrations of minerals, followed bv shrubs and grasses. Abstr.\CT. containing as dominants or Studies hii\e shown that 40*^-50% of the leiif protein in C3 species consists of sokible RUBPcase, whereas in C4 species onl\ about was RUBPcase \Blenkinsop and 5'~(--20'~f Dale 1974). Based on this evidence. Brown ^1978) suggested that C4 species should re- quire less nitrogen than do Cj species. Several studies have supported ^Christie 1979. Hallock et this id. h>pothesis 19&5. ^^'ilson and Ha\dock 1971. Wilson 1975\ It has also been shown that C4 species require small amounts of sodium for growth ^Browiiell and Crossland 1972V although these studies were done on species specificalK- adapted to different environments isaline\s. nonsiiline\ It was the purpose of this stud> to in\ estigate the mineral relationships of C3 and C^ plant species that grow in natural communities of compai-able environmental condition to assess whether ecological differences in mineral uptake do exist. Materials and Methods Stud\ .\rea sites were established in communities bordering L'tah Lake. Utali Count) Utah, at approximately 40^10' N, 11^50' vFig. l\ Elevations ranged li-om 1,36S to L40S m above sea level, with a mean of 1.377 m. Six study sites were established in each of six communit>" t\pes. Communities were selected because of the presence of the species Sporobolus airoides. PuccincUia nut- Thirty-six stud> plant . W Fig. 1. .\ map of Utah Lake showing the locations Communities shown corr spond to P = PuccincUia. Sp = Sporobolus. .\ = Atriphi = = K Kochia. G Greasewood and Sh = Shadseale. stud> sites ;iround the lake. Athplcx patula. Kocliia scoparu and Athplcx cot These species represent three lii fei-tifolia fomis ^grass, forb, and shrub", with each li talliana. Sarcobatits vcrmicuhitus . Trjc> Herbarium. Department of Range Science'. To\as.\ «!t .\| Lui\ersit>. l\>llev;e Station. Tevos ..b-ki. -Department of Botany and Range Science. Briehani Young Iniv^ratx. -135 WIDE. Pro\x). I'tah S46Qi. 140 . Januan" 1986 Table and the 1. 1. sites 141 : Species along with their mean cover values and life form designation. form t\pe (i.e. g = grass; f = forb; s = shrub). letters indicate life C4 grass MORDEN ET AL. Pl\NT ECOLOGY . An asterisk i*^ idicates C^ species. Great Basin Natur.\list 142 Vol. 46, No. 1 Samples were pooled and then anal\ zed (Bouyoucos 1951), pH, soluble salts, and mineral content. The hydrogen ion concentration was measured with a glass electrode pH meter. Total soluble salts were determined with a Beckman electrical conducter. for texture tivity bridge. A paste consisting of a 1:1 g/v soil water (distilled) mixture was used in determining pH and soluble salts. Vegetation samples were obtained by taking selected clippings of herbaceous material from the C3 species {Sporobolus airoidcs, Kochia scoparia, and Atriplex confci-tifolia) and the C4 species {Puccinellia nuttalliana, Atriplex patula, and Sarcobatus venniculato tus) within the stud\ plots. Soil tion and vegeta- samples (new growth leaves) were ana- lyzed for total nitrogen, magnesium, calcium, potassium, sodium (Hesse 1971), zinc, iron, Fig. 2. grasses Discriminant analysis for 83% were groups, (1), forbs soil classified correctly. (2), and shrubs minerals. Numbers Of the refer to (3). copper, and manganese (Lindsa\' and Norvell, 1969). Discriminant analysis (Klecka 1975) and anaK'sis of variance (Ott 1977) were used to statistically determine differences in minCj and C4 species and eral content betsveen their habitats. Discriminant analyses were conducted using the Statistical Package for the Social Sciences (SPSS) computer program (Klecka 1975). This technique distinguishes statisticalK' between two or more groups of stands on the basis of discriminating variables. The groups and variables are selected by the re- measured can be used method), or a stepwise method can be used to reduce the number of variables to those that provide the best dissearcher. All variables in the analysis (direct among the groups. In this study both the direct and the Wilks stepwise methods were used. The Wilks method uses the overall multivariate F ratio to test for variable differences. It selects the variables independently for entry into the analysis based on the importance of their discriminating power. The analysis procedure combines the discriminating variables to create discriminant frinctions designed to provide maximum separation among the groups pre\'iousl\' specified (life forms and C3 and C4 photosynthetic t\^es). The discriminant program determines the relative percentage of the total \ariation in the discriminating variables that is accounted for in each function. It also determines the relative importance of each variable used to criminating power Fig. 3. Discriminant analysis for soil chemistry an( Of the groups, 78% were classified correctly Numbers refer to grasses (1), forbs (2) and shrubs(3). texture. create the discriminant frinctions. This infer mation can be used to identify the variable; having the greatest influence on the outconM of the analysis. A graphic representation of the results o discriminant analysis is possible if the discrim inant functions are viewed as axes in geomet ric space. A plot of stands based on the twc most important functions locates the stands ir I MORDEN ET AL. PLANT ECOLOGY [anuary 1986 143 : and soil samples within each life form (grasses, and shrubs) were made. The percent of grouped cases classified correctly were 83% for the soil materials (Fig. 2) and 78% for soil chemistry and texture (Fig. 3), whereas the forbs, mineral content of the vegetation classified the groups 100% correctly (Fig. 4). This indicates that habitat differences in soil mineral chemistrv' and texture influence the life form type that dominates a site and that differential partitioning of the minerals by the plants occurs to a great extent. The soil, of course, may be modified by the plants growing in it. Results of analysis of variance and New- also man-Kuel tests for parameters of soil and vegetation mineral content are given in Tables 2 and 3. Analysis of soil mineral content showed differences between means for manganese, sodium, and soluble salts. Analy- significant Fig. 4. Of Numbers erals. Discriminant analysis for vegetation (leaf) minthe groups, 100% were classified correctly. refer to grasses (1), forbs (2), and shrubs (3). two-dimer<;ional space in such a relationships Such among way that the the groups can be visual- a graphic representation especially important for assessing the amount of separation between one group and another as well as the degree of group overlap. ized. is sis of vegetation mineral content showed differences between life forms in nitrogen, phos- phorus, zinc, manganese, copper, sium, potassium, and sodium. magne- C3 and C4 species were 78% correctly classiby minerals for both soil and vegetation samples (Tables 2 and 3). Stem and leaf plots of the discriminant analyses based on soil and fied vegetation mineral content are given in Figures 5 and 6, respectively. Results of the analysis of variance between Results Results of cover analysis for our study sites given in Table 1. Only those species showng 1% or more of the total cover are included. [n the grass- and forb-dominated communi3 ties, Sporobolus airoides, and Kochia sco- *paria provided over half the total cover. The shrub communities, however, were dominated in their understory by the invader species Bromus tectorum L. and Ranunculus testiculatus Cranz. Their presence in the understory is indicative of site disturbance as a result of grazing. Hydrogen :ies. Tom All soils showed no sigbetween the communi- ion concentration nificant diflFerences were basic, pH showed no between communities, of them being clay to silty clay loams. Solu- sle salts were highest in the grass communi- and lowest in the shrub communities. Two-dimensional plots of discriminant :ies inalysis of the within the plant tissue is not significantly Calcium and potassium showed no significant differences in concentration in soils but were significantly different in the plant als different. tissues of C3 and C4 species. Plant:soil ratios were computed for each mineral. Mean differences in iron and sodium assimilation exist between C3 and C4 species. Although trends existed for other elements, differences be- tween C3 and C4 species were not significant. ranging 8.1 to 8.7. Soil texture also Jignificant diflFerences ill with a C3 and C4 species are shown in Table 4. Iron and manganese are significantly (p < .05) higher in concentrations in the soils of C3dominated species than of C4-dominated species. However, concentration of these miner- mineral content of vegetation Discussion Brown (1978) suggested that diffierences in nitrogen use between photosynthetic types (C3 vs. C4) would hold for grasses, but he was not sure of the results that might be obtained with respect to other life forms. It appears Great Basin Natukaijst 144 Tablk 2. Vol. 46, No. Differcnct's in the mineral concentration.s of .soils a.ssociated with the Hie forms as varianee and Newman-Keiil tests. Means with determined by analysis of similar letters following indicate no si^niheant dilferenees for those means. Those with different letters indieate significant differences. Nntrient concentrations Mineral Grasses 1 in life form soils January 1986 MORDEN ETAL.; PLANT ECOLOGY 145 Great B.\sinX.\tur.\list 146 T.\BLE 4. Summan plant:soil ratios for of mineral concentrations for vegetation and C3 and C4 plants across asterisk (*) next to the means values. all 36 study One asterisk soil data. sites. Significant indicates p < 0.05; mg Kg Vol. 46, No. Means are for \egetation. differences are indicated hvo asterisks indicate p < b\- soil, 1 and the presence of an 0.01. MORDEN ET AL.: PLANT ECOLOGY Januan- 1986 had shghtly higher mean their tissues and higher plantisoil ratios than the C4 species. The C3 species also flowered one to two months earlier in the summer, when moisture conditions in the hahitat were more conduci\ e to their growth. though grasses grew in soils with high conSpecies of this study sodium levels of in centrations of soluble salts (Table their tissue 2), concentrations of sodium and potassium (Table 3) were much lower than eithf^^r forbs or shrubs. Although many grasses adapted to saline envi- ronments possess Hansen 1974, et glands (Liphschitz et salt al. Hana and Sporobohis airoides do not and as a 'esult must restrict the amount of sodium and ootassium entering their tissues. On the other land, the shrubs sess and forbs of this study do pos- glands or salt R. 19.59. A canopy-coverage method of veg etational analysis. Northwest Donahue, R L R VV Miller, J an introduction to Soils, Prentice-Hall, Hallock, D L . R, become succulent (Luttge and thus are able to tolerate higher quantises of sodium and potassium in their tissues. Both growth form and photosynthetic t\pe ihowed habitat differences relative to mineral 1971) 33:43-46. Sci. C Schicklumna. 1977 soils and plant growth New Jersey. H Brown, and R E Blaser, 1965 Relative yield and composition of Ky. 31 fescue and coastal bermudagrass at four nitrogen levels Agron. J. 57:539-542. Hesse, P R, 1971. Textbook of soil Wm. Clowes and Sons, Ltd., D J P Dayanandan, P B chemical analysis London. 520 pp. Hansen D K.alfm.an. .and J Brotherson. 1976. Ecological adaptation of salt marsh grass, Distichlls spicata (Gramineae), and environmental factors affecting 1976), Puccinellia nuttal- al. Dalbennure, 147 tribution, .\mer. W KlecK-A R its growth and dis- Bot. 6.3(5);63.5-6.50. J. Discriminant 1975. analysis. Pages package for the social G. Jankens, K. J. Steinbrenner, D. H. Bent, eds., McGraw-Hill, 434-467 in SPSS, statistical sciences. N. H. Nie, C. H. Hull, New York. LiNDS,\Y, W, L of a andW , DTPA a, Norvell, 1969. 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